Copertina

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sinha, Vidur, Ustaomeroglu, Muhammed, Qu, Guannan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Multiagent Systems Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
di: DeWeese, Alex, et al.
Pubblicazione: (2024)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
di: Hoppe, Heiko, et al.
Pubblicazione: (2023)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
di: Syed, Shahbaz P Qadri, et al.
Pubblicazione: (2025)

Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
di: DeWeese, Alex, et al.
Pubblicazione: (2025)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
di: Baheri, Ali, et al.
Pubblicazione: (2024)

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
di: Anand, Emile, et al.
Pubblicazione: (2024)

WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
di: Monroc, Claire Bizon, et al.
Pubblicazione: (2025)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
di: Guo, Xudong, et al.
Pubblicazione: (2024)

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
di: Jayawardana, Vindula, et al.
Pubblicazione: (2024)

Optimization and Learning in Open Multi-Agent Systems
di: Deplano, Diego, et al.
Pubblicazione: (2025)

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
di: Remy, Isaac, et al.
Pubblicazione: (2026)

Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
di: Wang, Zhiying, et al.
Pubblicazione: (2024)

Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
di: Deng, Chuhao, et al.
Pubblicazione: (2024)

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
di: Xu, Jianye, et al.
Pubblicazione: (2024)

ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
di: Lin, Chi-Hui, et al.
Pubblicazione: (2024)

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
di: Anand, Emile, et al.
Pubblicazione: (2024)

Major-Minor Mean Field Multi-Agent Reinforcement Learning
di: Cui, Kai, et al.
Pubblicazione: (2023)

Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
di: Koifman, Yigal, et al.
Pubblicazione: (2026)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2024)

Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
di: Shi, Zhaoyang
Pubblicazione: (2025)

Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
di: Feng, Chen, et al.
Pubblicazione: (2024)

Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
di: Chung, Jaehoon, et al.
Pubblicazione: (2023)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
di: Covone, Stefano, et al.
Pubblicazione: (2025)

Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
di: Maus, Tom, et al.
Pubblicazione: (2025)

Learning Swarm Interaction Dynamics from Density Evolution
di: Mavridis, Christos, et al.
Pubblicazione: (2021)

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
di: Hu, Yi, et al.
Pubblicazione: (2023)

Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
di: Woywood, Zeno, et al.
Pubblicazione: (2024)

Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range
di: Yan, Yuzi, et al.
Pubblicazione: (2024)

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
di: Duan, Wenchang, et al.
Pubblicazione: (2024)

Distributed Management of Fluctuating Energy Resources in Dynamic Networked Systems
di: Cheng, Xiaotong, et al.
Pubblicazione: (2024)

Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
di: Cho, Minwoo, et al.
Pubblicazione: (2026)

EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
di: Alqithami, Saad
Pubblicazione: (2026)

JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning
di: Guven, Islam, et al.
Pubblicazione: (2026)

Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
di: Ahmad, Obaid Ullah, et al.
Pubblicazione: (2025)

Personalized Collaborative Learning with Affinity-Based Variance Reduction
di: Zhang, Chenyu, et al.
Pubblicazione: (2025)

On the Reliability Limits of LLM-Based Multi-Agent Planning
di: Ao, Ruicheng, et al.
Pubblicazione: (2026)

Robust Online Learning over Networks
di: Bastianello, Nicola, et al.
Pubblicazione: (2023)

Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
di: Siddique, Umer, et al.
Pubblicazione: (2025)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
di: Yang, Zewen, et al.
Pubblicazione: (2024)

Double Distillation Network for Multi-Agent Reinforcement Learning
di: Zhou, Yang, et al.
Pubblicazione: (2025)